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Rick Robinson is a writer and blogger, with a current'day job' focus on the tech industry and a particular interest in the interplay of tech-driven factors and business... Artificial intelligence (AI) is coming soon to a network near you. Limited forms of AI are already in use, and much more powerful applications are now in development. That means there's no better time to start thinking about the implications of AI on cybersecurity. Speculation about AI in the form of robots has been popular for generations, dating back well before pioneering digital computers to the giant electronic brains of the 1940s. From the very beginning, this speculation has included worries about the dangers that might be posed by malicious or mistaken robots.

Artificial intelligence (AI) via predictive analytics is a game-changer. At last week's Kentucky Derby, an AI platform that had previously predicted the winners of the Oscars and Super Bowl predicted the Kentucky Derby superfecta. The AI platform predicted the first-, second-, third- and fourth-place horses at 540-1 odds, netting the technology's inventor Louis Rosenberg 10,842 on a 20 bet. How will this translate to the federal government? In addition, a new National Science and Technology Council (NSTC) Subcommittee on Machine Learning and Artificial Intelligence was established to monitor state-of-the-art advances and technology milestones in AI and machine learning within the federal government.

Before we start, for those not in the know, here's a brief explanation of what'machine learning' is. In simple terms, it is the use of algorithms that can iteratively learn from data, in turn enabling a computer to make predictions and adapt to new situations. This avoids the need for the computer to be explicitly programmed for each situation. We come across machine learning processes all the time. Amazon's'you might also like' is one example, as is the technology used in fraud protection.

The main objective of this thesis proposal is the exploration of advanced statistical and machine learning techniques for the processing of Big Data in medicine in order to identify novel relevant information for improved understanding of pathophysiological processes. To this aim, the notions of hierarchy and abstraction of deep architectures (i.e., deep learning) will be investigated. The developed techniques will be mainly applied to the research fields in our group which are the neurosciences (study of neurodegeneration and neural development in infants) and cardiology (cardiac function analysis). The project will involve the collaboration with clinical partners. The project will be conducted at the Department of Information & Communication Technologies of the Universitat Pompeu Fabra (UPF), Barcelona, Spain, within the Simbiosys group (https://portal.upf.edu/web/simbiosys).

The founding father of the concept Artificial Intelligence is Alan Turing and he did believe in the development of artificial intelligence as an entity that outgrows humankind. The theoretical moment in time when artificial intelligence will have surpassed human intelligence is called Singularity and is often used by the church of AI. You have an interviewer, the'supposed' AI and another random person put in 3 separate rooms. They can communicate only via mail, fax, or chat (nothing verbal). The interviewer has a limited amount of time to ask questions at the other rooms.

My hopes were high for some earth-shattering VR announcements from Google yesterday. As I watched the keynote on YouTube and sat through a series of announcements that, on the face of it, were rather underwhelming, I started to feel a little less hopeful. When the VR came, it was in the form of an announcement about a new name ('Daydream'), reference specs for VR ready handsets and headsets ('coming this fall') and a peek at the user interface, which looked interesting but somewhere south of what I can already get from Samsung Gear VR. The inclusion of a wiimote style controller was interesting though, and my mind went immediately to the possibility of using this in physical therapy and stroke-rehabilitation. While the future of VR is, in my opinion, very bright and nausea-free, it was the remainder of the keynote that got my neurons firing with possibilities.

Shift Technology, a software-as-a-service (SaaS) platform that leans on artificial intelligence (AI) to help companies combat insurance fraud, has raised 10 million in a round led by Accel, with participation from existing investors Iris Capital and Elaia Partners. Founded out of Paris in 2013, Shift Technology taps machine learning smarts to combat insurance fraud, using what it calls a "decision support platform" that automates the process of detecting fraud and helps humans prioritize which cases to follow-up on. In addition to using big data to highlight spurious claims, Shift Technology's tools also explain the kind of fraud that's likely involved and point to specific facets of a claim that are worth exploring further. As with most machine-learning systems, Shift Technology promises to improve over time by tapping user feedback and additional data. The company claims to have processed more than 50 million claims for insurers around the world since it was launched in 2014.

Havas extends its relationship with IBM, launching Havas Cognitive. Havas Group has been working with IBM for over 20 years now (early on Havas was one of the founding members of IBM's Marketing Innovation Group and an early Watson Ecosystem partner), but the relationship is continuing to evolve, with a new practice designed to help brands tap into artificial intelligence data and use it more effectively. TD Ameritrade and Adidas have been early pioneers of the technology, called Havas Cognitive. In the past, Havas has worked more closely with IBM as a client, but the new initiative represents more of a partnership between IBM and the Havas Group. The partnership came about when the two companies realized that they could create a real game-changing product for clients if they worked together.

With much of what Google announced during the first day of its I/O developer conference focused on helping users answer questions before they even think of them, artificial intelligence is proving critical for the company's strategy. "Google is betting the farm on artificial intelligence (A.I.) and they need to because Microsoft and Facebook aren't too far behind," said Patrick Moorhead, an analyst with Moor Insights & Strategy. "A.I. will determine the next-generation experience with all electronics. It essentially predicts what users want before they know they do. A.I. is the next big frontier, and Google has always been a pioneer in A.I." During the keynote speech on Wednesday, the company unveiled several upcoming products, including its Google Assistant, Google Home device, the Allo chat app and the Duo video chat app.